Designing integrated infrastructure for sustainability
- Increasing sustainability of energy systems in urban and suburban environments are a multifaceted problem with numerous approaches. Much research has been devoted to focusing on either the supply or demand side of a single infrastructure system, while limited work has been done on the co-optimization of the energy system. This paper tailors the proven urban optimization system to a suburban environment using an idealized military base near Helena, MT as case study. This research focuses on the concurrent design of optimal building mix and the systems supplying heating, cooling, and electricity in a constrained suburban environment. Using a Genetic Algorithm to develop over 400,000 base designs, the model incorporates 21 generic and 13 military specific building types, 32 combined heating and power engines, and 16 chillers. The results show the ability to obtain a variety of designs that fit within the required community building use needs while minimizing the life cycle cost and social cost of carbon.
|Type of resource
|electronic resource; remote; computer; online resource
|1 online resource.
|Reisweber, Nicholas Alan
|Degree committee member
|Stanford University, Civil & Environmental Engineering Department
|Statement of responsibility
|Nicholas Alan Reisweber.
|Submitted to the Civil & Environmental Engineering Department.
|Thesis Engineering Stanford University 2020.
- © 2020 by Nicholas Alan Reisweber
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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